Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

The 4th dimension of personalization in VR

I Horváth - 2022 1st IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, people find themselves under a high degree of information pressure, both in
terms of the quantity and quality of information. This paper investigates how workflows can …

Restructure Recommendation Framework for Online Learning Content using Student Feedback Analysis

JR Choi, S Kim, SB Lim - Journal of Korea Multimedia Society, 2018 - koreascience.kr
With the availability of real-time educational data collection and analysis techniques, the
education paradigm is shifting from educator-centric to data-driven lectures. However, most …

온라인학습을위한학생피드백분석기반콘텐츠재구성추천프레임워크

최자령, 김수인, 임순범 - 멀티미디어학회논문지, 2018 - dbpia.co.kr
With the availability of real-time educational data collection and analysis techniques, the
education paradigm is shifting from educator-centric to data-driven lectures. However, most …

Content Restructure Model for Learning Contents using Dynamic Profiling

JR Choi, EJ Sin, SB Lim - The Journal of the Convergence on …, 2018 - koreascience.kr
With the availability of real-time student behavioral data, personalization on education is
gaining a huge traction. Data collected from massively open online courses (MOOC) has …

[引用][C] Predicting Academic Performance: A Systematic Literature Review